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. 2024 Feb 12;46(1):2313182. doi: 10.1080/0886022X.2024.2313182

Table 6.

Binary logistic regression analysis.

Variables Univariate analysis
Multivariate analysis
p OR (95% CI) p OR (95% CI)
ALOX12 .010 1.059–1.535 .046 1.007–2.186
eGFR .040 0.941–0.999
ALB .024 0.799–0.984
TC .008 1.244–4.208
HDLC .037 1.193–268.120
LDLC .012 1.187–3.891
Apo A .048 1.028–947.893
Apo B .002 10.822–35518.698
U-RBP .009 1.093–1.869
U-CYC .033 1.210–93.704
  1. Cr

.009 0.628–0.937 .052 0.564–1.002
Glomerular lesions .000 2.257–17.542 .005 1.751–23.723
Arteriolar hyalinosis .038 1.076–12.789
IFTA .004 1.831–24.649

eGFR: estimated glomerular filtration rate; ALB: albumin; TC: total cholesterol; TG: triglyceride; HDLC: high-density lipoprotein cholesterol; LDLC: low-density lipoprotein cholesterol; Apo A: apolipoprotein A; Apo B: apolipoprotein B; U-RBP: urinary retinol-binding protein; U-CYC: urinary cystatin c; U-Cr: urinary creatinine; IFTA: interstitial fibrosis and tubular atrophy.